Make a code in R 3. A small insurance company insures a modest number of people...
5. The number of people entering a store in a given hour is claimed to have a Poisson distribution with a mean (lambda) of 5 a. What is the probability that exactly five people will enter the store in one hour? b. Less then five? c. More than five? d. How many people (N) must enter the store in one hour before you should be surprised? (The probability of this event is less than 5%.) Explain. Mention the difference between...
5. The number of people entering a store in a given hour is claimed to have a Poisson distribution with a mean (lambda) of 5 a. What is the probability that exactly five people will enter the store in one hour? b. Less then five? c. More than five? d. How many people (N) must enter the store in one hour before you should be surprised? (The probability of this event is less than 5%.) Explain. Mention the difference between...
An auto insurance company insures your car for one year against damage due to collision with another vehicle or object. Your policy has an annual deductible of 400. During the year there is a 90% chance that you will not have a collision and a 10% chance that you will have exactly one collision. Assume that the damage from a collision is approximated by an exponential distribution with mean 1600. (a) What is the probability that the insurer will...
The number X of people entering the intensive care unit at a particular hospital in any one day has a Poisson probability distribution with a mean of 5 people per day. a) What is the probability that more than one person enters the intensive care unit on a particular day? b)Find E(X^2)
(4) Consider the following random family tree: Let Y, denote the (random) number of people in the nth generation. Each person in the nth generation produces a random number of offspring, which has a Poisson(A) distribution. The total number of such children is then denoted Yn1 The number of offspring produced by any person is (statistically) independent of the number produced by another person. Moreover, Yo 1, that is, there is exactly one person in the zeroth generation. (a) Determine...
Insurance companies know the risk of insurance is greatly reduced if the company insures not just one person, but many people. How does this work? Let x be a random variable representing the expectation of life in years for a 25-year-old male (i.e., number of years until death). Then the mean and standard deviation of x are μ = 49.0 years and σ = 10.3 years (Vital Statistics Section of the Statistical Abstract of the United States, 116th Edition). Suppose...
Insurance companies know the risk of insurance is greatly reduced if the company insures not just one person, but many people. How does this work? Let x be a random variable representing the expectation of life in years for a 25-year-old male (i.e., number of years until death). Then the mean and standard deviation of x are μ = 49.3 years and σ = 11.1 years (Vital Statistics Section of the Statistical Abstract of the United States, 116th Edition). Suppose...
QUESTION 4 [4] A short term insurance company receives five motor vehicle claims, on average, per day. Assume that the daily claims follow a Poisson process. a) What is the probability that more than one motor vehicle claim is received over any given period of two working days? (2) b) What is the probability that more than 6 but less than 9 motor vehicle claims will be received in any given day? (2)
A company finds that one out of four employees will be late to work on a given day. If this company has 41 employees, find the probabilities that the following number of people will get to work on time. (Round your answers to 4 decimal places.) (a) Exactly 31 workers or exactly 35 workers. (b) At least 26 workers but fewer than 34 workers. (c) More than 24 workers but at most 36 workers. We were unable to transcribe this...
6) The average number of claims per hour made to the CGN Insurance Company for damages or losses incurred when moving from one residence to another is 14.7. What is the probability that in any given hour: a) fewer than ten claims will be made? b) exactly sixteen claims will be made? c) twelve or more claims will be made? d) more than eighteen claims will be made?